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Linking microbial community structure and microbial processes: an empirical and conceptual overview

Overview of attention for article published in FEMS Microbiology Ecology, September 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

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1 blog
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28 X users

Citations

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150 Dimensions

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460 Mendeley
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Title
Linking microbial community structure and microbial processes: an empirical and conceptual overview
Published in
FEMS Microbiology Ecology, September 2015
DOI 10.1093/femsec/fiv113
Pubmed ID
Authors

Raven L Bier, Emily S Bernhardt, Claudia M Boot, Emily B Graham, Edward K Hall, Jay T Lennon, Diana R Nemergut, Brooke B Osborne, Clara Ruiz-González, Joshua P Schimel, Mark P Waldrop, Matthew D Wallenstein

Abstract

A major goal of microbial ecology is to identify links between microbial community structure and microbial processes. Although this objective seems straight forward, there are conceptual and methodological challenges to designing studies that explicitly evaluate this link. Here, we analyzed literature documenting structure and process responses to manipulations to determine the frequency of structure-process links and whether experimental approaches and techniques influence link detection. We examined nine journals (published 2009-13) and retained 148 experimental studies measuring microbial community structure and processes. Many qualifying papers (112 of 148) documented structure and process responses, but few (38 of 112 papers) reported statistically testing for a link. Of these tested links, 75% were significant and typically used Spearman or Pearson's correlation analysis (68%). No particular approach for characterizing structure or processes was more likely to produce significant links. Process responses were detected earlier on average than responses in structure or both structure and process. Together, our findings suggest that few publications report statistically testing structure-process links. However, when links are tested for they often occur but share few commonalities in the processes or structures that were linked and the techniques used for measuring them.

X Demographics

X Demographics

The data shown below were collected from the profiles of 28 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 460 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 2%
United Kingdom 2 <1%
France 1 <1%
Pakistan 1 <1%
Australia 1 <1%
Belgium 1 <1%
Mexico 1 <1%
Unknown 444 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 144 31%
Researcher 68 15%
Student > Master 50 11%
Student > Bachelor 36 8%
Student > Doctoral Student 35 8%
Other 68 15%
Unknown 59 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 167 36%
Environmental Science 111 24%
Biochemistry, Genetics and Molecular Biology 44 10%
Immunology and Microbiology 19 4%
Earth and Planetary Sciences 12 3%
Other 21 5%
Unknown 86 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 September 2018.
All research outputs
#1,603,947
of 25,374,917 outputs
Outputs from FEMS Microbiology Ecology
#89
of 2,687 outputs
Outputs of similar age
#21,530
of 280,604 outputs
Outputs of similar age from FEMS Microbiology Ecology
#1
of 29 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,687 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has done particularly well, scoring higher than 96% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 280,604 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.